3-D Trajectory Optimization in UAV-Assisted Cellular Networks Considering Antenna Radiation Pattern and Backhaul Constraint
3-D Trajectory Optimization in UAV-Assisted Cellular Networks Considering Antenna Radiation Pattern and Backhaul Constraint
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DOI：
10.1109/taes.2020.2981233
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发表时间：
2020-10-01
影响因子：
4.4
通讯作者：
Guvenc, Ismail
中科院分区：
文献类型：
--
作者：
Chowdhury, Md Moin Uddin;Maeng, Sung Joon;Guvenc, Ismail
本文探讨了在干扰普遍的下行蜂窝网络中，三维天线辐射方向图和回程约束对无人机最优三维路径规划问题的影响。我们考虑一种蜂窝连接无人机，它的任务是在固定时间内在两个地点之间飞行，它可以作为中继器来改善地面用户的蜂窝连接。由于蜂窝基站的天线增益随无人机高度显著变化，无人机可以在其任务过程中通过改变其高度来改善其回程链路中的信号质量。这个问题是非凸的，因此，我们探索动态规划技术来解决它。研究表明，与固定无人机高度的轨迹相比，三维最优路径可以引入显著的网络性能增益。
This article explores the effects of 3-D antenna radiation pattern and backhaul constraint on optimal 3-D path planning problem of an unmanned aerial vehicle (UAV), in interference prevalent downlink cellular networks. We consider a cellular-connected UAV that is tasked to travel between two locations within a fixed time, and it can be used to improve the cellular connectivity of ground users by acting as a relay. Since the antenna gain of a cellular base station changes significantly with the UAV altitude, the UAV can improve the signal quality in its backhaul link by changing its height over the course of its mission. This problem is nonconvex, and thus, we explore the dynamic programming technique to solve it. We show that the 3-D optimal paths can introduce significant network performance gain over the trajectories with fixed UAV heights.